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2 дня назад

Engagement Manager (AI)

160Β 000 - 220Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Engagement Manager (AI): Managing customer implementations of a machine learning data platform through production with an accent on project execution, cross-functional coordination, and stakeholder communication. Focus on tracking risks and action items, translating between business and technical teams, and delivering high-stakes engagements to production milestones.

Location: Hybrid role based in San Francisco, New York, or Los Angeles, with in-office collaboration and travel to customer sites as required.

Salary: $160K–$220K OTE, plus equity.

Company

hirify.global builds a data platform for machine learning applications, focused on reducing complexity, latency, and scale barriers.

What you will do

  • Manage multiple defined-scope customer engagements from project planning through production deployment.
  • Coordinate forward-deployed engineers, customer stakeholders, and partners.
  • Maintain project plans, timelines, RAID logs, action items, status reports, and other governance materials.
  • Track and escalate risks, issues, blockers, owners, and due dates.
  • Translate between business and technical teams by capturing requirements and documenting decisions.
  • Prepare executive briefings and contribute to discovery, planning, and engagement-playbook improvements.

Requirements

  • 5+ years of experience in project or program management, professional services delivery, technical account management, or a comparable customer-facing delivery role.
  • Experience managing cross-functional projects through completion.
  • Strong organization, written communication, and follow-through.
  • Comfort working with technical teams and customer stakeholders.
  • Availability for hybrid in-office collaboration in San Francisco, New York, or Los Angeles.
  • Ability to travel to customer sites as engagements require.

Nice to have

  • Exposure to data, machine learning, artificial intelligence, or infrastructure and platform products.
  • Familiarity with Linear, Jira, Asana, or similar project-management tools.
  • Project-management coursework or certification, such as PMP.
  • Experience in a startup or fast-paced environment.

Culture & Benefits

  • Hands-on delivery role with opportunities to take on larger and more complex engagements.
  • In-office collaboration combined with customer-site travel as needed.
  • Equity compensation.
  • Work focused on delivering machine-learning deployments that generate customer value.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’